Feature Re-Learning with Data Augmentation for Content-based Video Recommendation简介

时间 2020-12-30

标签 grand challenge cbvr 繁體版

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Feature Re-Learning with Data Augmentation for Content-based Video Recommendation Introduction 作者主要将特征再学习，使得在对应的特征空间相关性强的点能够靠的比较接近比原始的特征空间。 Proposed solution Augmentation for frame-level features 采用sk

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1. （转）AutoML for Data Augmentation
2. data augmentation - image augmentation - imgaug
3. paper 168: 2018-FATTEN 论文解析-feature space transfer for data augmentation
4. 2019 CVPR之ReID：Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-
5. Unsupervised Data Augmentation for Consistency Training
6. Data Augmentation
7. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
8. Sequential Recommendation with User Memory Networks简介
9. GNN:Session-based Recommendation with Graph Neural Networks简介
10. Next Item Recommendation with Self-Attention简介

>>更多相关文章<<